Bothell, WA, United States of America

Navid Zobeiry

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: The Boeing Company, University of Washington. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Navid Zobeiry

Introduction

Navid Zobeiry is a notable inventor based in Bothell, WA (US). He has made significant contributions to the field of outlier detection and management. His innovative approach has led to the development of a unique patent that addresses challenges in analyzing test data.

Latest Patents

Navid Zobeiry holds a patent for "Outlier detection and management." This invention encompasses a method, apparatus, system, and computer program products designed for managing a set of outliers in test data. The computer system analyzes a set of features derived from the test data using various outlier detection methods. It generates results identifying the set of outliers detected by these methods. The test data is obtained from testing a physical structure, and the system determines causality for the identified outliers. The physical structure is then retested with changes based on the identified causality, generating new test data.

Career Highlights

Throughout his career, Navid Zobeiry has worked with prominent organizations, including The Boeing Company and the University of Washington. His experience in these institutions has enriched his expertise and contributed to his innovative work in outlier detection.

Collaborations

Navid has collaborated with talented individuals such as Christina M Doty and Todd Clayton DePauw. These partnerships have fostered a creative environment that has led to advancements in his field.

Conclusion

Navid Zobeiry's contributions to outlier detection and management exemplify the spirit of innovation. His work not only addresses critical challenges in data analysis but also showcases the importance of collaboration in driving technological advancements.

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